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Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia

Open access
McCloskey, Michael·1992·Cognition

Abstract

This article discusses cognitive neuropsychological research on acquired dyscalculia (i.e., impaired numerical processing resulting from brain damage), surveying issues of current interest, and illustrating the ways in which analyses of acquired deficits can contribute to an understanding of normal processing. I first review the logic whereby inferences concerning normal cognition are drawn from patterns of impaired performance. I then consider research exploring the general functional architecture of the cognitive numerical processing mechanisms, and finally turn to studies aimed at probing the internal structure and functioning of individual processing components.

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Metadata

Authors
McCloskey, M.
Venue
Cognition
Publisher
Elsevier BV
Published
1992
Volume
44
Issue
1-2
Pages
107-157
ISSN
0010-0277 (ISSN-L)
OpenAlex
W2090730236
Cited by
656
References
1
FWCI
25.72
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia. https://app.cochat.ai/papers/10.1016/0010-0277(92)90052-j
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McCloskey, M. (1992). Cognitive mechanisms in numerical processing: Evidence from acquired dyscalculia. Cognition. https://doi.org/10.1016/0010-0277(92)90052-j

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.